Christopher Mueller
Impact in
- Signal Processing top 5%
- Video Coding and Compression Technologies
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- Image and Video Quality Assessment
- Advanced Data Compression Techniques
- Visual Attention and Saliency Detection
Papers in
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- Image and Video Quality Assessment 13
- Advanced Data Compression Techniques 3
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- Caching and Content Delivery 9
- Peer-to-Peer Network Technologies 5
- Co-authors
- Christian TimmererStefan LedererHermann HellwagnerAndrew LumsdaineBrian M. MartinBenjamin RainerMarco MattavelliRod A. Wing
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)BMC Genomics (1 paper)IEEE Network (1 paper)BMC Plant Biology (1 paper)Genomics (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Christopher Mueller
28 papers receiving 625 citations
Peers
Comparison fields: 5 of 71
- Signal Processing 240
- Computer Vision and Pattern Recognition 423
- Computer Networks and Communications 244
- Hardware and Architecture 15
- Human-Computer Interaction 12
Countries citing papers authored by Christopher Mueller
This map shows the geographic impact of Christopher Mueller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Mueller more than expected).
Fields of papers citing papers by Christopher Mueller
This network shows the impact of papers produced by Christopher Mueller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher Mueller. The network helps show where Christopher Mueller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher Mueller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 2 | |
| 2 | 2017 | 16 | |
| 3 | 2014 | 45 | |
| 4 | 2013 | 39 | |
| 5 | 2013 | 27 | |
| 6 | 2013 | 45 | |
| 7 | 2013 | 22 | |
| 8 | 2012 | 32 | |
| 9 | 2012 | 2 | |
| 10 | 2011 | 2 | |
| 11 | 2009 | 0 | |
| 12 | 2008 | 7 | |
| 13 | 2007 | 13 | |
| 14 | 2006 | 25 | |
| 15 | 2005 | 19 | |
| 16 | 2005 | 51 | |
| 17 | 2005 | 1 | |
| 18 | Putting Theory into Practice: How to Apply Cross-Cultural Differences to User Interface Design? | 2003 | 2 |
| 19 | 2003 | 6 | |
| 20 | 2003 | 3 |
About Christopher Mueller
Christopher Mueller is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Hardware and Architecture and Software, having authored 31 papers that have together received 644 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (13 papers), Caching and Content Delivery (9 papers), Peer-to-Peer Network Technologies (5 papers), Video Coding and Compression Technologies (5 papers), Chromosomal and Genetic Variations (5 papers), Genomics and Phylogenetic Studies (4 papers), Advanced Data Compression Techniques (3 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Signal Processing (240 citations), Computer Vision and Pattern Recognition (423 citations), Computer Networks and Communications (244 citations), Hardware and Architecture (15 citations) and Human-Computer Interaction (12 citations). Christopher Mueller has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Christian Timmerer, Stefan Lederer, Hermann Hellwagner, Andrew Lumsdaine, Brian M. Martin, Benjamin Rainer, Marco Mattavelli, Rod A. Wing, Nicholas Sisneros and Dave Kudrna. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, BMC Genomics, IEEE Network, BMC Plant Biology and Genomics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.